WikiAP
Knowledge reference for the AI era
WikiAP is a knowledge reference on GEO/AEO and AI search, structured from credible primary sources.
GEOGenerative Engine Optimization
Optimization for getting content cited in the synthesized answer that generative engines like ChatGPT and Perplexity compose from multiple sources.
AEOAnswer Engine Optimization
Optimization for getting content excerpted into extractive single answers like featured snippets and voice assistants.
The term ‘GEO’ was formalized in a 2023 academic paper (Aggarwal et al., KDD 2024). WikiAP organizes this topic into definitions, methods, landscapes, and cases, with trustworthy sources. Editorial standards are described in About · Editorial principles.
Articles
See all →A comprehensive answer to 'which GEO companies are worth recommending.' Compares domestic Korean (Intermajor, ZESTCOMPANY, Narr/Answer, BizSpring, etc.) and global monitoring tools, diagnosis solutions, and agencies by founding, headquarters, and differentiators.
SEO, GEO, and AEO differences settled on one page. An 8-row comparison table — definition, stage, crawler type, optimization elements, and success metrics — plus an adoption roadmap showing which order to bring them in.
A step-by-step GEO strategy for licensed real estate agents and brokerages to earn citation as trusted sources in ChatGPT, Perplexity, and Naver AI — covering RealEstateAgent schema, FAQ structuring, AI bot crawling permissions, and cross-channel measurement.
Law firms, accounting firms, and consulting practices must build brand entities explicitly to be recognized by ChatGPT and Perplexity as professional service providers. A step-by-step guide to the Declare → Verify → Measure framework: from sector-specific schema.org markup to securing external mentions and tracking AI visibility.
A field guide for tax professionals and accounting firms that want to earn citations as trusted sources in ChatGPT, Perplexity, and Naver AI. Covers entity definition, FAQ structure, AccountingService schema, and channel-by-channel GEO measurement.
On July 15, 2026, Naver AI Tab crossed 10 million cumulative users — 18 days after its official launch. Daily query volume is 7× the beta level. This page covers AI Tab AEO strategy and agentic search content design principles as a concrete execution guide.
With 46% of high school students using AI to explore college options, academies and e-learning platforms need Course schema, first-party learner data, and FAQPage markup to earn citations in ChatGPT and Perplexity answers.
AI shopping agents now browse, compare, and complete purchases without explicit user commands. Getting into their consideration set requires structured product data and protocol connectivity. This guide covers ACP, UCP, and MCP protocols, Naver's AI shopping agent, and the GEO execution steps brands should act on now.
Naver held a 64.28% domestic search share in H1 2026 while AI Briefing query coverage heads toward 40% by year-end. At that scale, search rank alone no longer guarantees visibility. This guide explains how to treat Naver SEO and GEO as one content system — a Korea-specific integrated approach that targets both channels from a single piece of content.
What GEO (Generative Engine Optimization) does to CPA and ROAS. Visitors from AI search engines convert at up to 9× the Google organic rate. Brands cited in AI Overview see paid CTR climb 91%. A framework for redesigning performance marketing in the zero-click era.